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pupgram

v0.3.2

Published

**Pupgram** is a powerful automation library for Instagram built on top of `puppeteer`. It simplifies the process of interacting with Instagram programmatically, allowing you to log in, create posts, and manage your account with ease.

Readme

Pupgram

Pupgram is a powerful automation library for Instagram built on top of puppeteer. It simplifies the process of interacting with Instagram programmatically, allowing you to log in, create posts, and manage your account with ease.

📦 Installation

Installation is straightforward; just use your preferred package manager. Here is an example using NPM:

npm i pupgram

🚀 Usage

Basic Example

Here is how to use Pupgram to log in and create a post.

import { Instagram, enConfig } from "pupgram"

async function main() {
    // 1. Initialize the Instagram instance
    const instagram = await Instagram.create({
        puppeteer: {
            userDataDir: ".user-data", // Persist session
            headless: "shell",
        },
        logLevel: "debug",
        screenshotOnError: true,
        config: enConfig, // Use English selectors/config
    })

    // 2. Ensure you are logged in
    await instagram.ensureLoggedIn({
        username: "your-username",
        password: "your-password",
    })

    // 3. Create a post
    const postData = await instagram.createPost({
        filePaths: ["./path/to/image.png"],
        caption: "Hello from Pupgram! 🚀",
    })

    console.log(`Post created! URL: ${postData.url}`)
    console.log(postData)

    // 4. Close the instance
    await instagram.close()
}

main()

Creating a Reel

import { Instagram, enConfig } from "pupgram"

async function main() {
    // 1. Initialize the Instagram instance
    const instagram = await Instagram.create({
        puppeteer: {
            userDataDir: ".user-data",
            headless: "shell",
        },
        config: enConfig,
    })

    // 2. Ensure you are logged in
    await instagram.ensureLoggedIn({
        username: "your-username",
        password: "your-password",
    })

    // 3. Create a Reel
    const reelData = await instagram.createReel({
        filePath: "./path/to/video.mp4",
        caption: "My awesome Reel! 🎥",
    })

    console.log(`Reel created! URL: ${reelData.url}`)

    // 4. Close the instance
    await instagram.close()
}

main()

Features

🤖 Automated Interactions

Pupgram handles the complex DOM interactions required to navigate Instagram, including handling dialogues, buttons, and inputs.

🔐 Login Management

Easily manage user sessions. ensureLoggedIn checks if a valid session exists and only performs a full login flow if necessary, saving time and reducing friction.

📸 Post Creation

Automate content publishing with support for:

  • Multiple Files: Upload one or more images/videos.
  • Captions: Add rich text captions to your posts.
  • Confirmation: Waiting for server confirmation to ensure the post is live before proceeding.

🎞️ Reel Creation

Automate reel publishing with support for:

  • Video Upload: Upload video files.
  • Aspect Ratio: Automatically handles ratio selection for Reels (Original/9:16).
  • Captions: Add rich text captions.

⚙️ Configurable

Pupgram is designed to be flexible. You can provide custom configurations for different locales or UI variations using the config option in Instagram.create.

🌍 Forcing Language

You can force Instagram to load in a specific language using the languageParam option. This is useful to ensure the UI matches the selectors provided in your config.

import { Instagram, enConfig, Language } from "pupgram"

const instagram = await Instagram.create({
    // ... other options
    config: enConfig,
    languageParam: Language.EN_US // Forces ?hl=en-us
})

🐞 Debugging

When things go wrong, Pupgram helps you diagnose the issue. If screenshotOnError or htmlContentOnError are enabled (default: true), Pupgram creates an errors directory in your project root.

Each error generates a timestamped folder containing:

  • error.png: A screenshot of the page at the time of the error.
  • error.html: The HTML content of the page.

🧪 Tests (Not included yet, CONTRIBUTE! :D)

Automated tests are located in __tests__. To run them:

npm run test

🤝 Contributing

Want to contribute? Follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-new).
  3. Commit your changes (git commit -m 'Add new feature').
  4. Push to the branch (git push origin feature-new).
  5. Open a Pull Request.

📝 License

This project is licensed under the MIT License.